import torch
from torch import nn
from torch.nn import Linear
import torchvision
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter

dataset = torchvision.datasets.CIFAR10("./dataset", train=False, transform=torchvision.transforms.ToTensor(),
                                       download=True)

dataloader = DataLoader(dataset, batch_size=64)


class Tudui(nn.Module):
    def __init__(self):
        super(Tudui, self).__init__()
        self.linear = Linear(196608, 10)

    def forward(self, x):
        x = self.linear(x)
        return x


tudui = Tudui()
print(tudui)
step = 0
writer = SummaryWriter("logs_li")
for data in dataloader:
    imgs, targets = data
    print(imgs.shape)
    output = torch.flatten(imgs)
    print(output.shape)
    output = tudui(output)
    print(output.shape)
    step = step + 1

writer.close()